基于回归技术商品销售趋势预测模型的实现  

Implementation of Transaction Trend Prediction Model Based on Regression Analysis

作　　者：杨种学[1] 

机构地区：[1]南京晓庄学院信息技术学院,江苏南京210017

出　　处：《保山师专学报》2009年第5期64-67,共4页Journal of Baoshan Teachers' College

摘　　要：运用统计技术进行预测分析是数据挖掘领域的一项重要任务。利用线性回归建模技术、最小二乘法以及在线分析处理(OLAP)技术,设计并实现了基于回归技术的商品销售预测模型。并且利用该模型从海量数据库中挖掘出决策支持知识。It is important task to predict the future by data mining. We design Analysis, Least Squares and develop a transaction trend using statistics analysis prediction model based technology in the field of on Multivariate Regression Method and OLAP technology. By the help of the developed model, furthermore, much decision-making knowledge is mined from enormous data in databases.

关 键 词：回归技术 最小二乘法 趋势预测 数据挖掘 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]